Who we are

We come from countries around the world to form a community of humans focused on the responsible development of AI. At MIT and IBM Research, we share a “mind and hand” commitment to the scientific method grounded in the practical pursuit of solving the world’s biggest problems.

The team at IBM Research Cambridge in Kendall Square.

Leadership

The lab operates on a mirrored leadership structure, co-led by our IBM Research director David Cox and our MIT director Aude Oliva. Each of our 70+ projects is jointly proposed and jointly executed by IBM research scientists and MIT faculty members. Our annual Request for Proposals is overseen by the MIT-IBM Steering Committee. The 2020 committee is  Aude Oliva (Co-Director and Steering Committee Co-Chair), David Cox (Co-Director and Steering Committee Co-Chair), Antonio Torralba (Head of AI+D, MIT Schwarzman College of Computing), Dan Huttenlocher (Dean, MIT Schwarzman College of Computing), Lisa Amini (Director, IBM Research Cambridge), and Jeff Welser (Vice President, IBM Research Exploratory Science).

Aude Oliva photo

Dr. Aude Oliva is the MIT director of the MIT–IBM Watson AI Lab and co-director of the MIT Quest for Intelligence. She is a senior research scientist at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), where she leads research in neuroscience, computer vision, and machine learning.

Dr. David Cox

Dr. David Cox is the IBM Director the MIT-IBM Watson AI Lab. Formerly a Harvard professor, he is a computational neuroscientist prioritizing the lab’s work in neuro-symbolic AI and other key areas while leading the lab’s IBM team in Cambridge.

Anantha P. Chandrakasan

Dr. Anantha Chandrakasan is the dean of the MIT School of Engineering, the Vannevar Bush Professor of Electrical Engineering and Computer Science, and the MIT Chair of the MIT-IBM Watson AI Lab. His research focuses on making electronic circuits more energy efficient.

Dario Gil

Dr. Dario Gil is the IBM Chair of the MIT-IBM Watson AI Lab and the Director of IBM Research. He received his Ph.D. in Electrical Engineering and Computer Science from MIT and now leads IBM’s research strategies in Quantum, AI, Security, and other key areas.

AI Safety

Nathan Fulton

AI for Good

Kalyan Veeramachaneni

Active Learning

Nghia Hoang

Automated Planning

Michael Katz Masataro Asai

Big Data

Guy Bresler

Computational Analysis

Douglas Lauffenburger

Computational Materials Science

Connor Coley Giuseppe Romano Raul Radovitzky Elsa Olivetti

Computational Social Science

Dean Eckles

Explainability

Hendrik Strobelt

Fluid Dynamics

Lydia Bourouiba

Generative Models

Phillip Isola Jessie Rosenberg

Graph Deep Learning

Mark Weber

High Performance Computing

Steven Johnson

Human-Centered AI

Lucy Yip Dakuo Wang

Human-Computer Interaction

Arvind Satyanarayan Julie Shah

Knowledge Representation

Veronika Thost

Medical Image Analysis

Polina Golland

Multi-agent Systems

Asu Ozdaglar

Multimodal Learning

Youssef Mroueh

Natural Language Processing

Yoon Kim Yujia Bao Boris Katz James Glass

Neuroscience

James DiCarlo David Cox

Operations Research

Patrick Jaillet Georgia Perakis

Reinforcement Learning

Pulkit Agrawal

Statistics

Devavrat Shah

Transfer Learning

Prasanna Sattigeri

Wireless technology

Muriel Medard